We aim to teach basic data skills that give you freedom.
- Running bioinformatics software isn’t all that difficult, doesn’t take much skill, and it doesn’t embody any of the significant challenges of bioinformatics.…These data skills give you freedom…
- I believe these two qualities — reproducibility and robustness.
- So what is a reproducible bioinformatics project? At the very least, it’s sharing your project’s code and data.
- In wet lab biology, when experiments fail, it can be very apparent, but this is not always true in computing. Electrophoresis gels that look like Rorschach blots rather than tidy bands clearly indicate something went wrong. Unfortunately, without prior expectations, it can be quite difficult to distinguish good results from bad results.
- The easy way to ensure everything is working properly is to adopt a cautious attitude , and check everything between computational steps.
- You will almost certainly have to rerun an analysis more than once.
- Write Code for Humans, Write Data for Computers
- Use Existing Libraries Whenever Possible
- Treat Data as Read-Only
- Document Everything (-- Too geeky?) Just as a well-organized laboratory makes a scientist’s life easier, a well-organized and well-documented project makes a bioinformatician’s life easier.-- <<Bioinformatics Data Skills>>
- 1.基本生物课程： 如《遗传学》和/或《分子生物学》
- 2.基本统计课程： 如《概率论》和/或《生物统计》
- 3.基本数学课程： 如《微积分》和《线性代数》
- 4.基本计算机课程：如 《Linux》和《C或Python语言》
Yumin Zhu, Gang Xu, Zhuoer Dong, Yinghui Chen, Meifeng Zhou, Xupeng Chen, Xiaocheng Xi, Xi Hu, Jingyi Cao, Xiaofan Liu, Weihao Zhao, Siqi Wang and Zhi J. Lu
- Lu Lab 鲁 志 实验室
- School of Life Sciences, Tsinghua University, Beijing, China
- e-mail: lulab1 AT tsinghua.edu.cn
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